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Risk-based SMA for cubesats

Risk-based SMA for cubesats. Jesse Leitner, Chief SMA Engineer NASA GSFC December, 2016. Outline. Cubesat philosophy and constraints Risk Classification for cubesats Mission Success activities to reduce defects Risk-based SMA Scaling of efforts for cubesats

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Risk-based SMA for cubesats

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  1. Risk-based SMA for cubesats Jesse Leitner, Chief SMA Engineer NASA GSFC December, 2016

  2. Outline • Cubesat philosophy and constraints • Risk Classification for cubesats • Mission Success activities to reduce defects • Risk-based SMA • Scaling of efforts for cubesats • Building a cubesat mission success strategy from ground up • Cubesat lifetime • Cubesat as an inherited item

  3. Cubesat philosophy How do we best apply the available programmatic risk commodity and cost and schedule resources to make technical risk as low as possible? • Understand the constraints • Size (space limitations) • Proximity of elements • Cost and schedule resources • Recognize the limited reliability history • Cubesat level – few developments using “high reliability” approach • Cubesat components – very little reliability basis • Develop new approach for establishing reliability • Will require time to accumulate on-orbit data for system reliability • Apply proven component-level accelerated testing approaches • Ensure accelerated testing is validated against actual product reliability experiences (based on product failures in a relevant environment) - be wary of “non-TAYF” lifetesting • Overly conservative approach will be a showstopper • Explore means for accelerated testing at system-level • This is a ripe environment for model-based systems engineering and model-based mission assurance • Determine efforts that provide the best bang for the buck • Will not be able to afford typical minimum mission success activities for larger spacecraft • At time of launch – be sure cubesat was thoroughly tested in environment and functions properly • Open questions (unresolved anomalies) and limited system testing time are reliability threats • When possible, target constellation-level reliability • Never at the expense of the debris environment or threats to people or property on the ground

  4. What is risk classification? • Establishment of the level of risk tolerance from the stakeholder, with some independence from the cost • Cost is covered through NPR 7120.5 Categories • If we were to try to quantify the risk classification, it would be based on a ratio of programmatic risk tolerance to technical risk tolerance • For Class A, we take on enormous levels of programmatic risk in order to make technical risk as close to 0 as possible. The assumption is that there are many options for trades and the fact is that there must be tolerance for overruns. • For Class D, there will be minimal tolerance for overruns and a greater need to be competitive, so there is a much smaller programmatic risk “commodity” to bring to the table • The reality is that the differences between different classifications are more psychological (individual thoughts) and cultural (longstanding team beliefs and practices) than quantitative • There is one technical requirement from HQ associated with risk classification: single point failures on Class A missions require waiver

  5. Risk Classification • NPR 7120.5 Class C: Moderate risk posture • Represents an instrument or spacecraft whose loss would result in a loss or delay of some key national science objectives. • Examples: LRO, MMS, TESS, and ICON • NPR 7120.5 Class D: Cost/schedule are equal or greater considerations compared to mission success risks • Allowable technical risk is medium by design (may be dominated by yellow risks). • Many credible mission failure mechanisms may exist. A failure to meet Level 1 requirements prior to minimum lifetime would be treated as a mishap. • Examples: LADEE, IRIS, NICER, and DSCOVR • NPR 7120.8 “Class” – Allowable technical risk is high • Some level of failure at the project level is expected; but at a higher level (e.g., program level), there would normally be an acceptable failure rate of individual projects, such as 15%. • Life expectancy is generally very short, although instances of opportunities in space with longer desired lifetimes are appearing. • Failure of an individual project prior to mission lifetime is considered as an accepted risk and would not constitute a mishap. (Example: ISS-CREAM) • “Do No Harm” Projects – If not governed by NPR 7120.5 or 7120.8, we classify these as “Do No Harm”, unless another requirements document is specified • Allowable technical risk is very high. • There are no requirements to last any amount of time, only a requirement not to harm the host platform (ISS, host spacecraft, etc.). • No mishap would be declared if the payload doesn’t function. (Note: Some payloads that may be self-described as Class D actually belong in this category.) (Example: CATS, RRM)

  6. Defects vs Mission Success Risk can be characterized by number of defects that affect performance or reliability and the impact of each. Defects are generally of design or workmanship. Random vibe Functional FMEA 4 T cycles Random vibe 4 T cycles GOLD rules Internal review S/W engineering and QA S/W engineering and QA 1st tier QA EMI self-compatibility Strength testing/analysis GIDEP broad assessments EMI self-compatibility FPGA requirements Number of Residual Design Defects Number of Residual Workmanship Defects Workmanship requirements Sine sweep Prohibited materials 2nd tier QA Independent review 1 EM work Fastener integrity Detailed design FMEA QPL parts EMC Acoustic 4 more T cycles Independent review 2 Full EMI/EMC Full EMI/EMC Sine burst 3rd tier QA Full PRA Mission Success Activities Mission Success Activities Note: A thorough environmental test program will ensure most risks are programmatic (cost/schedule) until very late, when time and money run out.

  7. Defects vs Mission Success as a function of risk classification Generally-representative example, prioritization may vary by mission attributes or personal preference or experience. 4 T cycles 500 operating hours Random vibe Functional FMEA Workmanship-trained techs EMI self-compatibility 150 failure free hours GOLD rules EM work Close-out inspection Graybeard Internal review S/W engineering GIDEP internal disposition Number of Residual Defects FPGA requirements Workmanship requirements Sine sweep Prohibited materials 2nd tier QA Independent review 1 500 more operating hours QPL parts Closed Loop GIDEP and alerts Fastener integrity Acoustic EMC 4 more T cycles Design FMEA/FTA Independent review 2 Full EMI/EMC 3rd tier QA Full PRA DNH 7120.8 Class D Class C Class B Class A Mission Success Activities

  8. Programmatic risk of reduced efforts Removing layers results in some defects not being caught, and some being caught later Mission Cost + The more layers that are removed, the later defects are likely to be caught (if they are caught), the more work that has to be “undone”, the more testing that has to be redone, and the more likely the project is to suffer severe programmatic impact and/or to fly with added residual risk. Cost to remove a single defect Launch date Time at which defect is caught

  9. What is Risk-Based SMA? The process of applying limited resources to maximize the chance for safety & mission success by focusing on mitigating specific risks that are applicable to the project vs. simply enforcing a set of requirements because they have always worked

  10. Risk-based SMA Risk-informed framework Risk-informed requirements generation Risk-informed decisions Risk-informed review and audit

  11. Attributes of Risk-Based SMA Note: Always determine the cause before making repeated attempts to produce a product after failures or nonconformances Upfront assessment of reliability and risk, e.g. tall poles, to prioritize how resources and requirements will be applied Early discussions with developer on their approach for ensuring mission success (e.g., use of high-quality parts for critical items and lower grade parts where design is fault-tolerant) and responsiveness to feedback Judicious application of requirements based on learning from previous projects and the results from the reliability/risk assessment, and the operating environment (Lessons Learned – multiple sources, Cross-cutting risk assessments etc) Careful consideration of the approach recommended by the developer Characterization of risk for nonconforming items to determine suitability for use – project makes determination whether to accept, not accept, or mitigate risks based on consideration of all risks Continuous review of requirements for suitability based on current processes, technologies, and recent experiences Consideration of the risk of implementing a requirement and the risk of not implementing the requirement.

  12. Scaling of efforts for cubesats • In general, mission success activities for cubesats do not scale down linearly as compared to larger missions • Environmental test • Elements of “religion” (number of thermal cycles, sine vs random, etc) do not scale down • Time to reach thermal equilibrium does scale down • Inspection • Overhead of performing inspection at various points remains • Volume of inspection does scale down • Operating time • Operating time to ensure system-level design and workmanship issues are exposed does not scale down • Qualification of new elements does not scale down

  13. Building an SMA approach from the ground up • Mission Success Tiers: For a given application, arrange mission success activities from low ratio of programmatic risk to technical risk and low ratio of cost-and-schedule resources to technical risk tohigh ratio of programmatic risk to technical risk and high ratio of cost-and-schedule resources to technical risk • Build mission success activity profile based on risk tolerance (risk classification): Recommend graded approach of applying activities starting from low ratios, working towards high, to build the lowest achievable risk posture holistically, within resource constraints • Expected lifetime: Apply processes and analyses that address lifetime concerns: • Limited life items • Expendables • Qualification period duration or accelerated life (or other reliability basis)

  14. Sample from Tables (Mission Success lower tiers)

  15. Sample from Tables (Risk Tolerance)

  16. Expected lifetime

  17. Other Processes • Materials: NASA-STD-6016 with discretion • Workmanship: NASA trained technicians • ESD – aligned with sensitivity, not necessarily risk-tolerance • Interface FMEA to protect the host platform and the environment • Launch/range safety • Tailored NASA-STD-8719.24 • LSP-Req-317.01 (for LSP hosted cubesats) • Debris requirements from NPR 8715.6, NASA-STD-8719.14

  18. Inherited Items Process Baselined in GPR 8730.5: SMA acceptance of inherited and build-to-print hardware Centrally handled for all projects to ensure that process is implemented uniformly and that prior analyses are used to the greatest extent Folds in the more traditional heritage reviews to this process

  19. Example Standard Components Star Trackers Gyros/IMUs Reaction Wheel Assemblies Magnetometers Torquer bars Battery Relays High performance stepper motors and actuators Piezoelectric motors

  20. “Traditional” GSFC SMA practices Strongly requirements-based Commercial practices only by exception Previously-developed and build-to-print items required to meet all requirements or work through standard MRB process Treatment of each item as if it is the first time we’ve seen it

  21. Practices/features that have caused “unease” at GSFC Pure Sn/insufficient Pb/prohibited materials Board modifications (white wires, etc) Level 3 or COTS parts Use of bare board specs outside of our common requirements Use of unfamiliar workmanship standards Use of Table 2 or Table 3 materials

  22. Previous approach of handling COTS/inherited/build-to-print items These processes drive up cost and risk for larger spacecraft, would lead to demise of cubesat projects Generally bottoms up approach for each project Standard parts control board approvals Acceptance based on elements and processes vs component-level assessment Emphasis on requirements, risk generally considered when push comes to shove Rejection of modified boards based on quantity of modifications and appearance

  23. Transition to Risk-based approach • Early discussion about inherited items being brought to the table • Directives for proactively handling inherited items • Based on changes from previous developments • Design • Environment • Failures and anomalies • Based on assessment of elevated risk • Component level qualification and history • Use of Commodity Risk Assessment Engineer • Focus is on “what is new” and risk areas determined from past history

  24. Standard Components CRAE • Center lead over all Standard Components responsible for • Standard Components Commodity Usage Guidelines • Capturing lessons learned for each project usage, from procurement, through development, to on-orbit experiences • Interface to orgs outside of GSFC • Determining risk for unusual usage, or for nonconforming or out-of-family standard components • Establish testing and qualification programs as needed • Focus on applying consistent processes across all projects, emphasizing the “deltas”,and not repeating the same requests • Approval in the past may not guarantee approval on current project if the risk posture, lifetime, redundancy, or environment has changed

  25. Standard Components Commodity Usage Guidelines GSFC-determined derating or usage limits for components History of workmanship standards applied, expectations, and ground experiences Known EEE parts outside of GSFC’s experience base Known materials outside of GSFC’s experience base Ground and on-orbit nonconformance, anomaly, and failure history Prior risk assessments

  26. Acceptance of Inherited Items Information provided upfront Review and analysis Risk Assessment performed Risk LxC and statement provided to the CSO CSO and Project make the call on acceptance based on risk-level Results are documented at the Center level

  27. Inheritance Process Overview Obtain Final Inheritance SMA Endorsement and Risk Assessment Initiate Inheritance Plans Perform and Document Inheritance Data and Assessments Conduct or Support TIMS/WGs and Reviews Refine and Finalize Inheritance Assessments 4.1 Prepare and Distribute Final Inheritance Data Package 4.2 Obtain Final Risk Assessments from SC CRAE and Inheritance Review Panel/SMEs. (See Note 3) 4.3 Update CUG with Inherited Item data gathered. (SC CRAE) Note 3: The SC CRAE risk assessment will include resulting risk statement(s) with a likelihood and consequence in the standard GSFC 5x5 format with mitigation options or a statement that there is no elevated risk associated with use of the item I and in either cases a requirement tailoring recommendation. This will be in the form of a cover letter /memo for the final Inheritance Data Package. 3.1A Conduct Inheritance Review Panel Data Evaluations and/or Risk TIMs/WGs to formulate Risk Assessments including workmanship assessment. 3.1B Conduct formal inheritance review to acquire acceptance of project risk assessments in lieu of component level PDR/CDRs. 3.2 Identify/resolve open inheritance concerns, action items, and Discrepancies; • 2.1 Gather and Prepare Inheritance Data Package (See Note 2) for each item or group of items • 2.2 Distribute an Inheritance Data Package within 30 days of MCR/ATP • 2.3 Convene Inheritance Review Panel (SC CRAE) even if no data supplied • Note 2: Include all data specified in GPR 8730.5 but at a minimum: • List of inherited items and statement of approach; • Summary results of qualification, acceptance, and/or testing completed, and comparison of current requirements; • Storage and/or Flight history of the items and specific attributes for each flight, including environments; • Ground and on-orbit performance violations anomaly and failure history including the determination of root causes; • The reliability analyses performed for the most recent version of the product. • Identification of significant changes in design, facility, process, subtier supplier, testing changes, company change of ownership, or any change from qualified unit to current unit   • See GPR 8730.5 Section 4.7 for Software. • 1.1 Develop Inheritance Plan: • Identify potential components (spares, COTS, Std components, Build-to-Print) that are suitable for the mission** • Determine data available from SC CRAE/ vendor/previous project. • 1.2 Conduct mission suitability Analysis • Note 1: An initial SC CRAE contact meeting may be held to establish project intentions and risk posture as well as inheritance options • ** Heritage type reviews may be a source for items • 5.1 Accept final SMA endorsement and Risk Assessment from SC CRAE/SMA • 5.2 Include Inherited Item Risk Assessment results in upper-level milestone reviews. • 5.2 Manage Risks Identified

  28. Inherited items for cubesats • Many standard CubeSat components now exist • Substantial reliability benefits for using previously qualified items • However, these give rise to constraints that may increase the system design challenge • In general, it may be desirable to treat the cubesat itself as an “inherited” or COTS item • Ensure mission success and reliability through holistic assessment, rather than piece parts approvals (alternate approach)

  29. Summary • Cubesats demand a unique approach due to a unique set of constraints • Two approaches are suggested here • Prioritizing mission success activities by ratios of programmatic risk to technical risk and programmatic resources to technical risk • Holistic assessment of the cubesats, where piece parts are secondary contributing elements

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